Communication method and apparatus, and storage medium

Abstract

The present disclosure relates to a communication method and apparatus, and a storage medium. The communication method comprises: determining at least one covariance matrix of a downlink channel matrix; on the basis of eigenvalues of the at least one covariance matrix, determining first information, wherein the first information is used for indicating the degree of strength of a near-field effect on a terminal; and sending the first information. In the embodiments of the present disclosure, the first information is sent, and the first information is used for indicating the degree of strength of the near-field effect on the terminal, such that the degree of strength of the near-field effect on the terminal can be determined by means of the first information, and a network device can correspondingly configure the terminal. Moreover, determining first information on the basis of the eigenvalues of the covariance matrix requires only one instance of matrix eigenvalue decomposition, and is less computationally intensive.

Description

Communication method, apparatus, and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and particularly relates to a communication method, apparatus and storage medium. BACKGROUND

[0002] In a wireless communication system, the application of multiple antenna technology based on multiple input multiple output (MIMO) and high frequency spectrum resources in combination can improve the communication transmission rate.

[0003] SUMMARY

[0004] Embodiments of the present disclosure provide a communication method, apparatus and storage medium.

[0005] According to a first aspect of embodiments of the present disclosure, a communication method is provided, and the method comprises:

[0006] determining at least one covariance matrix of a downlink channel matrix;

[0007] determining first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of near field effect suffered by a terminal;

[0008] sending the first information.

[0009] According to a second aspect of embodiments of the present disclosure, a communication method is provided, and the method comprises:

[0010] receiving first information, the first information being used to indicate a strength of near field effect suffered by a terminal, the first information being determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

[0011] According to a third aspect of embodiments of the present disclosure, a communication apparatus is provided, and the apparatus comprises:

[0012] a processing module configured to determine at least one covariance matrix of a downlink channel matrix, and determine first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of near field effect suffered by a terminal;

[0013] a transceiver module configured to send the first information.

[0014] According to a fourth aspect of embodiments of the present disclosure, a communication apparatus is provided, and the apparatus comprises:

[0015] The transceiving module is configured to receive first information, the first information being used to indicate a strength of a near-field effect suffered by the terminal, and the first information being determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

[0016] According to a fifth aspect of the embodiments of the present disclosure, a communication device is provided, which comprises:

[0017] one or more processors;

[0018] The communication device is configured to perform the method according to the first aspect or the second aspect.

[0019] According to a sixth aspect of the embodiments of the present disclosure, a communication system is provided, which comprises a terminal and a network device, the terminal being configured to implement the method according to the first aspect, and the network device being configured to implement the method according to the second aspect.

[0020] According to a seventh aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, when the instructions are run on a communication device, causing the communication device to perform the method according to the first aspect or the second aspect.

[0021] According to an eighth aspect of the embodiments of the present disclosure, a computer program product is provided, which comprises a computer program, when the computer program is executed by a communication device, implementing the method according to the first aspect or the second aspect.

[0022] In the embodiments of the present disclosure, the first information is transmitted, the first information being used to indicate a strength of a near-field effect suffered by the terminal, so that the strength of the near-field effect suffered by the terminal can be determined through the first information, and the network device can configure the terminal accordingly. Moreover, the first information is determined according to eigenvalues of a covariance matrix, so that only one eigenvalue decomposition of a matrix is needed, and the amount of calculation is small. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following describes the drawings required for the embodiments, and the following drawings are only some embodiments of the present disclosure, and do not specifically limit the protection scope of the present disclosure.

[0024] FIG. 1A is an exemplary architectural schematic diagram of a communication system according to an embodiment of the present disclosure.

[0025] FIG. 1B is a schematic diagram in which electromagnetic fields of an antenna array are divided into near fields and far fields.

[0026] FIG. 1C is a schematic diagram of beams for user equipment (UE) located in far fields and near fields.

[0027] FIG. 2A is an exemplary interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0028] FIG. 2B is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0029] FIG. 3A is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0030] FIG. 3B is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0031] FIG. 3C is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0032] FIG. 4A is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0033] FIG. 4B is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0034] FIG. 5 is an exemplary interaction diagram of a communication method according to an embodiment of the present disclosure.

[0035] FIG. 6A is an exemplary interaction diagram of a communication method according to an embodiment of the present disclosure.

[0036] FIG. 6B is an exemplary distribution diagram of near field indication (NFI) according to an embodiment of the present disclosure.

[0037] FIG. 7A is an exemplary structural diagram of a communication apparatus according to an embodiment of the present disclosure.

[0038] FIG. 7B is an exemplary structural diagram of a communication apparatus according to an embodiment of the present disclosure.

[0039] FIG. 8A is an exemplary structural diagram of a communication device according to an embodiment of the present disclosure.

[0040] FIG. 8B is an exemplary structural diagram of a chip according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0041] The embodiments of the present disclosure provide a communication method, apparatus and storage medium.

[0042] In a first aspect, the embodiments of the present disclosure provide a communication method, which comprises:

[0043] determining at least one covariance matrix of a downlink channel matrix;

[0044] determining first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of near field effect suffered by a terminal;

[0045] sending the first information.

[0046] In the above embodiment, the first information is sent, which is used to indicate the strength of the near-field effect on the terminal. Thus, the strength of the near-field effect on the terminal can be determined by the first information, and the network device can configure the terminal accordingly. Moreover, the first information is determined according to the eigenvalues of the covariance matrix, and only one eigenvalue decomposition of the matrix is needed, so the calculation amount is small. The first information can quantitatively or non-quantitatively indicate the strength of the near-field effect on the terminal.

[0047] In combination with some embodiments of the first aspect, in some embodiments, the at least one covariance matrix includes a first covariance matrix, and the first information includes α, where the α is determined according to a first eigenvalue and a second eigenvalue of the first covariance matrix.

[0048] In the above embodiment, the first information includes α, which can quantitatively indicate the strength of the near-field effect on the terminal. It can be understood that the eigenvalues of the first covariance matrix exhibit different numerical values in the far-field and near-field cases of the terminal, and thus the α can be determined by two eigenvalues (denoted as the first eigenvalue and the second eigenvalue) of the first covariance matrix. For example, in some implementations, the α can be determined according to the difference or ratio between the first eigenvalue and the second eigenvalue. It is worth noting that the above embodiment can be used for a one-dimensional array or a two-dimensional array of the transmitting antenna array of the network device, i.e., the first covariance matrix can correspond to all dimensions of the array (e.g., one dimension of a one-dimensional array or two dimensions of a two-dimensional array), and then the α is calculated accordingly.

[0049] In combination with some embodiments of the first aspect, in some embodiments, the α is determined according to a ratio of the second eigenvalue to the first eigenvalue, the first eigenvalue is the maximum eigenvalue of the first covariance matrix, and the second eigenvalue is the second largest eigenvalue of the first covariance matrix.

[0050] In the above embodiment, the α is determined according to the ratio of the second largest eigenvalue to the maximum eigenvalue of the first covariance matrix, which facilitates quantitative feedback. For example, the α can be defined as the absolute value of the ratio of the second largest eigenvalue to the maximum eigenvalue, which is a positive real number greater than or equal to 0 and less than or equal to 1.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the transmitting antenna array of the network device is a two-dimensional array, the at least one covariance matrix includes a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponds to a first dimension, the third covariance matrix corresponds to a second dimension, and the first information includes at least one of the following:

[0052] α (v) ;

[0053] α (h) ;

[0054] α (v) and α (h) The mean of

[0055] α (v) and α (h) The maximum value in ;

[0056] α (v) and α (h) The minimum value in ;

[0057] Among them, the α (v) is determined according to the third eigenvalue and the fourth eigenvalue of the second covariance matrix, the α (h) It is determined according to the fifth eigenvalue and the sixth eigenvalue of the third covariance matrix.

[0058] In the above embodiment, if the transmitting antenna array of the network device is a two-dimensional array, the first information can be determined according to the second covariance matrix corresponding to the first dimension (such as the vertical dimension) and / or the third covariance matrix corresponding to the second dimension (such as the horizontal dimension). The first information may include at least one of the following: α (v) ; α (h) ; max{α (v) , α (h)}; max{α (v) , α (h) It is understandable that the eigenvalues ​​of the second covariance matrix have different numerical performances when the terminal is in the far field and the near field. Therefore, the α of the first dimension can be determined by the two eigenvalues ​​of the second covariance matrix (denoted as the third eigenvalue and the fourth eigenvalue). (v) Similarly, the eigenvalues ​​of the third covariance matrix have different numerical performances when the terminal is in the far field and near field. Therefore, the α of the second dimension can be determined by the two eigenvalues ​​of the third covariance matrix (denoted as the fifth eigenvalue and the sixth eigenvalue). (h) Therefore, the first information can quantitatively indicate the strength of the near-field effect experienced by the terminal.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the α (v) It is determined according to the ratio of the fourth eigenvalue to the third eigenvalue, the third eigenvalue is the maximum eigenvalue of the second covariance matrix, and the fourth eigenvalue is the second largest eigenvalue of the second covariance matrix.

[0060] In the above embodiment, α (v) It is determined based on the ratio of the second largest eigenvalue to the largest eigenvalue of the second covariance matrix, which is convenient for quantitative feedback. For example, α(v) It can be defined as the absolute value of the ratio of the second largest eigenvalue to the largest eigenvalue, and its value is a positive real number greater than or equal to 0 and less than or equal to 1.

[0061] In conjunction with some embodiments of the first aspect, in some embodiments, the α (h) It is determined according to the ratio of the sixth eigenvalue to the fifth eigenvalue, the fifth eigenvalue is the maximum eigenvalue of the third covariance matrix, and the sixth eigenvalue is the second largest eigenvalue of the third covariance matrix.

[0062] In the above embodiment, α (h) It is determined based on the ratio of the second largest eigenvalue to the largest eigenvalue of the third covariance matrix, which is convenient for quantitative feedback. For example, α (h) It can be defined as the absolute value of the ratio of the second largest eigenvalue to the largest eigenvalue, and its value is a positive real number greater than or equal to 0 and less than or equal to 1.

[0063] In combination with some embodiments of the first aspect, in some embodiments, the first information is included in channel state information (CSI).

[0064] In the above embodiment, the reporting of the first information may be combined with the CSI reporting process to simplify the communication process.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0066] Second information is received, where the second information is used to configure the terminal to send at least one of the first information, where one of the first information corresponds to at least one channel state information reference signal (CSI-RS) resource or at least one CSI-RS port group.

[0067] In the above embodiment, the network device or other entities may configure the terminal to report at least one first information. If the terminal does not receive the above configuration, it may not report the first information.

[0068] In a second aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0069] First information is received, where the first information is used to indicate a strength of a near-field effect experienced by a terminal, and the first information is determined based on an eigenvalue of at least one covariance matrix of a downlink channel matrix.

[0070] In some embodiments of the second aspect, in some embodiments, the at least one covariance matrix comprises a first covariance matrix, and the first information comprises a, wherein the a is determined according to a first eigenvalue and a second eigenvalue of the first covariance matrix.

[0071] In some embodiments of the second aspect, in some embodiments, the a is determined according to a ratio of the second eigenvalue to the first eigenvalue, the first eigenvalue being a largest eigenvalue of the first covariance matrix, and the second eigenvalue being a second largest eigenvalue of the first covariance matrix.

[0072] In some embodiments of the second aspect, in some embodiments, the transmit antenna array of the network device is a two-dimensional array, the at least one covariance matrix comprises a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponding to a first dimension, and the third covariance matrix corresponding to a second dimension, and the first information comprises at least one of:

[0073] a (v) ;

[0074] a (h) ;

[0075] a (v) and a mean of a (h) ;

[0076] a (v) and a maximum of a (h) ;

[0077] a (v) and a minimum of a (h) ;

[0078] wherein the a (v) is determined according to a third eigenvalue and a fourth eigenvalue of the second covariance matrix, and the a (h) is determined according to a fifth eigenvalue and a sixth eigenvalue of the third covariance matrix.

[0079] In some embodiments of the second aspect, in some embodiments, the a (v) is determined according to a ratio of the fourth eigenvalue to the third eigenvalue, the third eigenvalue being a largest eigenvalue of the second covariance matrix, and the fourth eigenvalue being a second largest eigenvalue of the second covariance matrix.

[0080] In some embodiments of the second aspect, in some embodiments, the a (h) is determined according to a ratio of the sixth eigenvalue to the fifth eigenvalue, the fifth eigenvalue being a largest eigenvalue of the third covariance matrix, and the sixth eigenvalue being a second largest eigenvalue of the third covariance matrix.

[0081] In some embodiments combined with the second aspect, in some embodiments, the first information is included in a CSI.

[0082] In some embodiments combined with the second aspect, in some embodiments, the method further comprises:

[0083] sending second information, the second information being used for configuring the terminal to send at least one of the first information, one of the first information corresponding to at least one CSI-RS resource or at least one CSI-RS port group.

[0084] In a third aspect, the embodiments of the present disclosure provide a communication apparatus, comprising:

[0085] a processing module configured to determine at least one covariance matrix of a downlink channel matrix, and determine first information according to eigenvalues of the at least one covariance matrix, the first information being used for indicating a strength of a near-field effect suffered by a terminal;

[0086] a transceiver module configured to send the first information.

[0087] In a fourth aspect, the embodiments of the present disclosure provide a communication apparatus, comprising:

[0088] a transceiver module configured to receive first information, the first information being used for indicating a strength of a near-field effect suffered by a terminal, the first information being determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

[0089] In a fifth aspect, the embodiments of the present disclosure provide a communication device, comprising:

[0090] one or more processors;

[0091] The communication device is configured to perform the method described in the first aspect or the optional implementation of the second aspect.

[0092] In a sixth aspect, the embodiments of the present disclosure provide a communication system, comprising a terminal and a network device, the terminal being configured to implement the method described in the first aspect, and the network device being configured to implement the method described in the second aspect.

[0093] In a seventh aspect, the embodiments of the present disclosure provide a storage medium, the storage medium storing instructions, when the instructions run on a communication device, causing the communication device to perform the method described in the first aspect or the optional implementation of the second aspect.

[0094] In an eighth aspect, an embodiment of the present disclosure provides a computer program product, comprising a computer program which, when executed by a communication device, implements the method described in the optional implementation manner of the first aspect or the second aspect.

[0095] In a ninth aspect, an embodiment of the present disclosure provides a chip or chip system. The chip or chip system comprises processing circuitry configured to perform the method described in the optional implementation manner of the first aspect or the second aspect.

[0096] It can be understood that the communication apparatus, the communication device, the communication system, the storage medium, the computer program product, the chip or the chip system are all used to execute the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved are referred to the beneficial effects in the corresponding method, which will not be described here.

[0097] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing some steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, some or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with the optional implementation manners of other embodiments.

[0098] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0099] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and not as a limitation on the present disclosure.

[0100] In the embodiments of the present disclosure, unless otherwise specified and logically contradictory, the elements expressed in singular form, such as "one", "a", "the", "above", "said", "preceding", "this" and the like, can represent "one and only one", or "one or more", "at least one" and the like. For example, in the case of using articles such as "a", "an", "the" and the like in English, the noun after the article can be understood as singular expression, or can be understood as plural expression.

[0101] In the embodiments of the present disclosure, "a plurality of" means two or more.

[0102] In some embodiments, the terms "at least one of," "one or more of," "a plurality of," "multiple," and the like can be used interchangeably.

[0103] In some embodiments, the recitations "at least one of A, B," "A and / or B," "in one case A, in another case B," "in response to a case A, in response to a case B," and the like, depending on the circumstances, can include the following technical solutions: in some embodiments, A (A is executed regardless of B); in some embodiments, B (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selectively executed); in some embodiments, A and B (A and B are both executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0104] In some embodiments, the recitations "A or B" and the like, depending on the circumstances, can include the following technical solutions: in some embodiments, A (A is executed regardless of B); in some embodiments, B (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selectively executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0105] In the embodiments of the present disclosure, the prefix words "first", "second", and the like are only used to distinguish different description objects, and do not constitute limitations on the position, order, priority, quantity, or content of the description objects. The description of the description objects should refer to the description in the context of the claims or embodiments, and should not constitute redundant limitations because of the use of the prefix words. For example, the description object is "field", and the ordinal words before "field" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified thereby are in the same message or not, nor limit the order of "first field" and "second field". For another example, the description object is "level", and the ordinal words before "level" in "first level" and "second level" do not limit the priority between "levels". For another example, the quantity of the description object is not limited by the ordinal words, and can be one or more. For example, "first device", wherein the quantity of "device" can be one or more. In addition, the objects modified by different prefix words can be the same or different, for example, the description object is "device", and "first device" and "second device" can be the same device or different devices, and the types thereof can be the same or different; for another example, the description object is "information", and "first information" and "second information" can be the same information or different information, and the content thereof can be the same or different.

[0106] In some embodiments, "comprising", "including", "to indicate", "carrying", can be interpreted as directly carrying A, or indirectly indicating A.

[0107] In some embodiments, the terms "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0108] In some embodiments, the terms "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above", and the like can be replaced with each other, and the terms "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below", and the like can be replaced with each other.

[0109] In some embodiments, the apparatus and device can be interpreted as physical or virtual, and its name is not limited to the name described in the embodiments, and in some cases can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and the like.

[0110] In some embodiments, "network" can be interpreted as an apparatus included in the network, such as an access network device, a core network device, and the like.

[0111] In some embodiments, an “access network device (AN device)” can also be referred to as a “radio access network device (RAN device),” a “base station (BS),” a “radio base station,” a “fixed station,” and in some embodiments can also be understood as a “node,” an “access point,” a “transmission point (TP),” a “reception point (RP),” a “transmission / reception point (TRP),” a “panel,” an “antenna panel,” an “antenna array,” a “cell,” a “macro cell,” a “small cell,” a “femto cell,” a “pico cell,” a “sector,” a “cell group,” a “serving cell,” a “carrier,” a “component carrier,” a “bandwidth part (BWP),” and the like.

[0112] In some embodiments, a "terminal" or "terminal device" can be referred to as a "user equipment" (UE), a "user terminal," a "mobile station" (MS), a "mobile terminal" (MT), a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, and / or the like.

[0113] In some embodiments, data, information and / or the like can be obtained in compliance with laws and regulations of a country where the data, information and / or the like is obtained.

[0114] In some embodiments, data, information and / or the like can be obtained after consent of a user.

[0115] In addition, each element, each row, or each column in a table of embodiments of the present disclosure can be implemented as an independent embodiment, and a combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0116] FIG. 1A is a schematic diagram illustrating an architecture of a communication system according to embodiments of the present disclosure. As shown in FIG. 1A, the communication system 100 can include a terminal 101 and a network device 102.

[0117] In some embodiments, the terminal 101 can include at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable automobile, a smart automobile, a Pad, a wireless-transmitting computer, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal device in Industrial Control, a wireless terminal device in Self-Driving, a wireless terminal device in Remote Medical Surgery, a wireless terminal device in Smart Grid, a wireless terminal device in Transportation Safety, a wireless terminal device in Smart City, a wireless terminal device in Smart Home, but is not limited thereto.

[0118] In some embodiments, the network device 102 can include at least one of an access network device, a core network device.

[0119] In some embodiments, the access network device can be a node or a device that accesses a terminal to a wireless network, and the access network device can include at least one of an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, an access node in a Wi-Fi system, but is not limited thereto.

[0120] In some embodiments, the technical solutions of the present disclosure can be applied to an Open RAN architecture, at this time, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0121] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit (Control Unit). The CU-DU structure can split the protocol layers of the access network device, and some of the protocol layers are controlled by the CU, and the remaining or all of the protocol layers are distributed in the DU and controlled by the CU, but not limited thereto.

[0122] In some embodiments, the core network device can be one device, or a plurality of devices or device groups. The core network can include at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0123] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed in the embodiments of the present disclosure. It can be known by those skilled in the art that, with the evolution of system architecture and the appearance of new business scenarios, the technical solutions proposed in the embodiments of the present disclosure are also applicable to similar technical problems.

[0124] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1A or part of the subject, but are not limited thereto. The subjects shown in FIG. 1A are examples, and the communication system can include all or part of the subjects in FIG. 1A, or other subjects other than those in FIG. 1A. The number and form of each subject is arbitrary, each subject can be real or virtual, the connection relationship between each subject is an example, each subject can not be connected or can be connected, and the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0125] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. Further, a plurality of systems can be applied in combination (for example, combination of LTE or LTE-A and 5G, and the like).

[0126] In some embodiments, the network device 102 in the communication system 100 can include a first antenna array, which is an antenna array used by the network device 102 for transmitting wireless signals, and thus can also be referred to as a transmitting antenna array. The network device 102 can send a downlink transmission to the terminal 101 through the first antenna array. Optionally, the first antenna array can be an antenna array supporting MIMO technology, such as a large-scale antenna array or a super large-scale antenna array.

[0127] In a wireless communication system, in order to improve the transmission rate, multiple antenna technology based on multiple input multiple output (MIMO) and high frequency transmission using high frequency spectrum resources have been increasingly applied.

[0128] At present, the medium and low frequency spectrum resources are very crowded. In order to meet the demand for rising data rate, exploration of higher frequency spectrum resources, such as millimeter wave frequency band, terahertz frequency band, etc., has been started. High frequency transmission will be subject to greater transmission attenuation, especially the absorption of water molecules and oxygen in the air is very serious, so the transmission distance and coverage of high frequency transmission are very limited.

[0129] On the one hand, higher frequency means shorter wavelength. Compared with medium and low frequency spectrum, more antennas, such as large-scale antennas or super large-scale antennas, can be deployed under the same aperture size. On the other hand, large-scale antennas can have greater beamforming gain, which can effectively compensate for severe transmission loss, thereby extending the coverage range and transmission distance. Therefore, high frequency transmission and large-scale antenna technology are a pair of complementary technologies. As a combination of the two, high frequency large-scale multiple input multiple output (MIMO) technology has good prospects. It is worth noting that high frequency large-scale MIMO will lead to hardening of the wireless channel, mainly dominated by line-of-sight (LoS) propagation.

[0130] For a given antenna array (such as a transmitting antenna array of a network device), the antenna aperture is denoted as D, and the electromagnetic (EM) field can be divided into a near field and a far field, as shown in FIG. 1B. The boundary between the near field and the far field is called the Rayleigh distance, also known as the Fraunhofer distance, which is Obviously, the size of the near field depends on the antenna aperture D and the wavelength λ. In current cellular wireless communication systems, user equipments (UEs) are mostly located in the far field of the base station's transmit antenna array. As mentioned above, if the carrier frequency is getting higher and / or the antenna array is getting larger, the near field will expand, and even if the current network topology is unchanged, such as the distance between base stations, the distribution of UEs, etc., the current far field UEs are likely to become near field UEs.

[0131] In the far field, the electromagnetic wave received by the UE is a plane wave, and the beam for the UE is a two-dimensional (2D) directional beam pointing to the target UE. For any path in wireless propagation, the time and phase of departure from different antennas (elements) of the base station's transmit antenna array are linearly and equally spaced, as shown in FIG. 1C. Therefore, the codebooks of almost all current MIMO systems are constructed based on Discrete Fourier Transform (DFT) vectors. For example, the codebook in 4G LTE is composed of DFT vectors and vectors after Householder transformation of the DFT vectors. In 5G NR, Type 1 codebook is composed of DFT vectors and oversampled versions of the DFT vectors; Type 2 codebook uses DFT vectors and oversampled versions of the DFT vectors as spatial orthogonal bases (W1), and uses the orthogonal bases and projection coefficients to represent each precoding vector or matrix.

[0132] If the UE is located in the near field, the electromagnetic wave received by the UE is a spherical wave, and the beam for the UE is a three-dimensional (3D) beam surrounding the target UE. For any path in wireless propagation, the time and phase of departure from different antennas (elements) of the base station's transmit antenna array are no longer linearly and equally spaced, as shown in FIG. 1C. This means that the codebook constructed based on DFT vectors will no longer be suitable for near field UEs. Therefore, a codebook design specifically for the near field can be used. In addition, since the beam energy in the near field is more concentrated and the coverage is smaller, in order to support the same mobility, more candidate beams need to be configured for UEs in the near field.

[0133] Therefore, the base station needs to make necessary adaptations for near field UEs, such as: selecting and configuring a codebook for near field UEs; configuring more candidate beams for near field UEs than for far field UEs in the beam management process, etc. Moreover, the above adaptation process is related to the strength (or size) of the near field effect experienced by the UE. Taking beam management as an example, the closer a UE is to the base station's transmit antenna array, the stronger the near field effect experienced by the UE, and the more candidate beams the UE needs.

[0134] Currently, the base station cannot know whether the accessed UE is a far-field UE or a near-field UE, and cannot know the strength of the near-field effect on the near-field UE.

[0135] FIG. 2A is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2A, the embodiment of the present disclosure relates to a communication method, which comprises:

[0136] In step S2101, the network device sends second information to the terminal.

[0137] In some embodiments, the terminal receives the second information. The second information is used to configure the terminal to send (report) at least one first information, and one first information corresponds to at least one channel state information reference signal (CSI-RS) resource or at least one CSI-RS port group. The first information is used to indicate the strength of the near field effect on the terminal. The near field effect is the near field effect of the terminal relative to the antenna array of the network device. Optionally, the first information can quantitatively indicate the strength of the near field effect on the terminal; or the first information can be one or more bits of indication information, and different bit states represent different degrees of near field effect on the terminal. For example, the first information is 1 bit of indication information, which is used to indicate that the terminal is subjected to strong near field effect (i.e., indicating that the terminal is in the near field), or to indicate that the terminal is subjected to weak near field effect (i.e., indicating that the terminal is in the far field).

[0138] Optionally, the second information can also be used to configure the terminal to periodically, or aperiodically, or semi-persistently report the first information.

[0139] Optionally, the second information can also be used to configure the first information to be included in the channel state information (CSI) for reporting, for example, to configure the first information to be included in the CSI report quantity. Optionally, the second information can be included in the CSI configuration information.

[0140] In the embodiment of the present disclosure, the name of the second information is not limited, which is, for example, “configuration information” and the like. The name of the first information is not limited, which is, for example, “near field indicator (NFI)”, “indication information” and the like.

[0141] In some embodiments, step S2101 is an optional step. For example, the terminal reports the first information according to the protocol, or reports the first information when the condition is met, or does not report the first information, or does not report the first information when the condition is met. For another example, the terminal reports or does not report the first information by default. Optionally, the terminal does not report the first information in the case where the second information is not received.

[0142] Step S2102: The terminal determines the first information according to the downlink channel matrix.

[0143] The terminal obtains the downlink channel matrix, and determines the first information according to the downlink channel matrix.

[0144] In some embodiments, the terminal performs channel estimation on the downlink channel according to the received reference signal, and obtains the downlink channel matrix. Optionally, the terminal performs channel estimation on the downlink channel according to the reference signal of at least one CSI-RS resource or at least one CSI-RS port group, so as to determine the first information corresponding to the at least one CSI-RS resource or at least one CSI-RS port group. The reference signal is a reference signal used for downlink channel estimation, for example, the reference signal is a CSI-RS, or the reference signal is another reference signal sent by the network device.

[0145] Optionally, the downlink channel matrix can include one or more channel matrices, and one channel matrix can correspond to one instance, and one channel matrix corresponds to all transmission antennas (including all row antennas, all column antennas, all polarization directions, etc.) and all reception antennas.

[0146] Optionally, one instance can be, but is not limited to, any one of the following:

[0147] At least one orthogonal frequency division multiplexing (OFDM) subcarrier;

[0148] At least one OFDM symbol;

[0149] At least one resource element (RE);

[0150] At least one CSI-RS resource;

[0151] At least one CSI-RS resource set.

[0152] In the embodiments of the present disclosure, the terms “instance”, “frequency resource”, “frequency group”, “time-frequency resource”, etc. can be replaced with each other.

[0153] In some embodiments, as shown in FIG. 2B, the implementation of the terminal determining the first information according to the downlink channel matrix can include the following steps S21-S22.

[0154] Step S21, the terminal determines at least one covariance matrix of the downlink channel matrix.

[0155] In some embodiments, the at least one covariance matrix includes a first covariance matrix.

[0156] In some embodiments, the at least one covariance matrix includes a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponding to the first dimension, and the third covariance matrix corresponding to the second dimension. For ease of understanding, the following is described by taking the first dimension as the vertical dimension and the second dimension as the horizontal dimension as an example.

[0157] The following describes the transmitting antenna array of the network device for one-dimensional array and two-dimensional array.

[0158] (1) One-dimensional array

[0159] The transmitting antenna array of the network device is a one-dimensional array, for example, a uniform linear array (ULA) with single polarization or dual polarization. The terminal determines a first covariance matrix of the downlink channel matrix.

[0160] Optionally, for the one-dimensional array, the first covariance matrix is:

[0161] wherein, is the first covariance matrix, is a sub-matrix from the p-th polarized direction antenna of the transmitting antenna array of the network device to the receiving antenna of the terminal in the channel matrix of the k-th instance, N r is the number of receiving antennas of the terminal, N t is the number of antennas of the transmitting antenna array of the network device in one polarized direction. The superscript H represents conjugate transpose.

[0162] (2) Two-dimensional array

[0163] The transmitting antenna array of the network device is a two-dimensional array, for example, a uniform planar array (UPA) with single polarization or dual polarization.

[0164] Optionally, for the two-dimensional array, the terminal determines a first covariance matrix of the downlink channel matrix.

[0165] Optionally, for the two-dimensional array, the first covariance matrix is:

[0166] wherein, is the first covariance matrix, is the sub-matrix of the channel matrix of the kth instance from the antenna in the pth polarization direction of the transmitting antenna array of the network device to the receiving antenna of the terminal, N r is the number of receiving antennas of the terminal, N t The number of antennas in one polarization direction of the transmitting antenna array of the network device. is the number of antennas in the vertical dimension of the transmitting antenna array of the network device in one polarization direction, The number of antennas in the horizontal dimension of the transmitting antenna array of the network device in one polarization direction.

[0167] Optionally, for a two-dimensional array, the terminal determines a second covariance matrix and / or a third covariance matrix of the downlink channel matrix.

[0168] Alternatively, for a 2D array, the second covariance matrix is:

[0169] in, is the second covariance matrix, is the sub-matrix of the channel matrix of the kth instance from the cth column antenna in the pth polarization direction of the transmitting antenna array of the network device to the receiving antenna of the terminal, N is the number of antennas in the vertical dimension of the transmitting antenna array of the network device in one polarization direction. r is the number of receiving antennas of the terminal, The number of antennas in the horizontal dimension of the transmitting antenna array of the network device in one polarization direction.

[0170] Optionally, for a 2D array, the third covariance matrix is:

[0171] in, is the third covariance matrix, is the sub-matrix of the channel matrix of the kth instance from the rth row antenna in the pth polarization direction of the transmitting antenna array of the network device to the receiving antenna of the terminal, N is the number of antennas in the vertical dimension of the transmitting antenna array of the network device in one polarization direction. r is the number of receiving antennas of the terminal, The number of antennas in the horizontal dimension of the transmitting antenna array of the network device in one polarization direction.

[0172] Step S22: The terminal determines first information according to the eigenvalue of the at least one covariance matrix.

[0173] Optionally, the at least one covariance matrix comprises a first covariance matrix. The terminal determines the first information according to eigenvalues of the first covariance matrix, for example, the terminal determines the first information according to two eigenvalues (denoted as a first eigenvalue and a second eigenvalue) of the first covariance matrix.

[0174] Optionally, the first information can quantitatively indicate the strength of the near-field effect suffered by the terminal, and the first information comprises α. The determination manner of α is described below.

[0175] Firstly, eigen value decomposition (EVD) is performed on the first covariance matrix. For example, eigen value decomposition is performed on the first covariance matrix as follows:

[0176] wherein U s is an orthonormal basis of a signal subspace of the first covariance matrix C, U n is an orthonormal basis of a noise subspace of the first covariance matrix C, Λ s is a diagonal matrix composed of eigenvalues corresponding to the signal subspace of the first covariance matrix C arranged in descending order, and Λ n is a diagonal matrix composed of eigenvalues corresponding to the noise subspace of the first covariance matrix C arranged in descending order.

[0177] Then, α is determined according to the first eigenvalue and the second eigenvalue of the first covariance matrix. For example, α can be determined according to the difference, ratio, etc. of the first eigenvalue and the second eigenvalue.

[0178] Optionally, the first eigenvalue is the largest eigenvalue of the first covariance matrix, and the second eigenvalue is the second largest eigenvalue of the first covariance matrix, but is not limited thereto, for example, the second eigenvalue can also be the third largest eigenvalue of the first covariance matrix.

[0179] Optionally, α is determined according to the ratio of the second eigenvalue to the first eigenvalue. Optionally, the ratio of the second eigenvalue to the first eigenvalue can be taken as α, or further operation (such as at least one of addition, subtraction, multiplication, division, power operation, logarithmic operation, etc.) can be performed on the basis of the ratio of the second eigenvalue to the first eigenvalue, and the result after operation is taken as α.

[0180] Optionally, α can be one of the following:

[0181] wherein λ1 is the first eigenvalue of the first covariance matrix, and λ2 is the second eigenvalue of the first covariance matrix, for example, λ1 is the largest eigenvalue of the first covariance matrix, and λ2 is the second largest eigenvalue of the first covariance matrix.

[0182] According to an optional implementation, a can be a linear value (a is a positive real number greater than or equal to 0 and less than or equal to 1, such as a = 0.01) or a decibel (dB) value (such as a = -20 dB).

[0183] For ease of description, the following is explained by taking an example in which a is defined as the absolute value of the ratio of the second largest eigenvalue to the largest eigenvalue of the first covariance matrix. It can be understood that a super large scale array is often deployed in a high frequency scenario, and wireless propagation is mainly in a direct path, that is, a line of sight (LOS) propagation. In a far field case, the angle of each path relative to all antenna elements of the antenna array is the same, so the rank of the far field channel matrix is close to 1, that is, the channel matrix is close to singular, that is, the eigenvalues of the covariance matrix other than the largest eigenvalue are very small. At this time, the corresponding a is close to 0. In a near field case, the angle of each path relative to each antenna element of the antenna array is different, so the rank of the near field channel matrix is greater than 1, and even full rank, that is, the second largest eigenvalue of the covariance matrix is not small in addition to the largest eigenvalue. At this time, the corresponding a is much greater than 0, and even close to 1. Therefore, a can be used to represent the size of the near field effect. Therefore, a can quantitatively indicate the strength of the near field effect suffered by the terminal.

[0184] According to an optional implementation, a can be defined as the absolute value of the ratio of the second largest eigenvalue to the largest eigenvalue of the first covariance matrix, and a is a positive real number greater than or equal to 0 and less than or equal to 1, facilitating quantitative feedback.

[0185] In some embodiments, the first information can be 1-bit indication information, and the terminal determines the first information according to a and a first threshold. For example, if a is greater than the first threshold, the terminal is indicated to be in a near field by bit "1", if a is less than the first threshold, the terminal is indicated to be in a far field by bit "0", and in particular, if a is equal to the first threshold, the terminal is indicated to be in a near field by bit "1" or in a far field by bit "0". Alternatively, the first threshold can be protocol predefined or configured by a network device, and the present embodiment does not limit the acquisition method of the first threshold.

[0186] In some embodiments, the first information can be multiple-bit indication information, and the terminal determines the first information according to a and multiple thresholds, which can be protocol predefined or configured by a network device.

[0187] Optionally, the at least one covariance matrix comprises a second covariance matrix and / or a third covariance matrix. The terminal determines the first information according to eigenvalues of the second covariance matrix and / or eigenvalues of the third covariance matrix, for example, the terminal determines the first information according to two eigenvalues (denoted as a third eigenvalue and a fourth eigenvalue) of the second covariance matrix and / or two eigenvalues (denoted as a fifth eigenvalue and a sixth eigenvalue) of the third covariance matrix.

[0188] Optionally, the first information can quantitatively indicate the strength of the near-field effect suffered by the terminal, and the first information comprises at least one of:

[0189] α (v) ;

[0190] α (h) ;

[0191] α (h) and the mean of α (h) ;

[0192] α (v) and the maximum of α (h) ;

[0193] α (v) and the minimum of α (h) .

[0194] The determination of α (v) is described below.

[0195] First, eigenvalue decomposition is performed on the second covariance matrix. For example, the following eigenvalue decomposition is performed on the second covariance matrix:

[0196] wherein, is an orthonormal basis of a signal subspace of the second covariance matrix C (v) , is an orthonormal basis of a noise subspace of the second covariance matrix C (v) , is a diagonal matrix composed of eigenvalues of the corresponding signal subspace of the second covariance matrix C (v) in descending order, is a diagonal matrix composed of eigenvalues of the corresponding noise subspace of the second covariance matrix C (v) in descending order.

[0197] Then, α (v) is determined according to the third eigenvalue and the fourth eigenvalue of the second covariance matrix. For example, α (v) may be determined according to the difference, ratio, etc. of the third eigenvalue and the fourth eigenvalue.

[0198] Optionally, the third eigenvalue is the maximum eigenvalue of the second covariance matrix, and the fourth eigenvalue is the second largest eigenvalue of the second covariance matrix, but is not limited thereto. For example, the fourth eigenvalue may also be the third largest eigenvalue of the second covariance matrix.

[0199] Optionally, α is determined based on the ratio of the fourth eigenvalue to the third eigenvalue (v) Alternatively, the ratio of the fourth eigenvalue to the third eigenvalue can be used as α (v) Alternatively, further operations (such as at least one of addition, subtraction, multiplication, division, power operation, logarithm operation, etc.) can be performed based on the ratio of the fourth eigenvalue to the third eigenvalue, and the result of the operation can be used as α (v) .

[0200] Optionally, α (v) Can be one of the following:

[0201] in, is the third eigenvalue of the second covariance matrix, is the fourth eigenvalue of the second covariance matrix, for example is the maximum eigenvalue of the second covariance matrix, is the second largest eigenvalue of the second covariance matrix.

[0202] According to the optional implementation, α (v) It can be a linear value or a dB value.

[0203] According to the optional implementation, α (v) It can be defined as the absolute value of the ratio of the second largest eigenvalue to the largest eigenvalue of the second covariance matrix, and its value is a positive real number greater than or equal to 0 and less than or equal to 1, which is convenient for quantitative feedback.

[0204] The following is a (h) The method of determining .

[0205] First, perform eigenvalue decomposition on the third covariance matrix. For example, perform the following eigenvalue decomposition on the third covariance matrix:

[0206] in, is the third covariance matrix C (h) The orthonormal basis of the signal subspace of is the third covariance matrix C (h) The orthonormal basis of the noise subspace is is the third covariance matrix C (h) The diagonal matrix composed of descending eigenvalues ​​of the corresponding signal subspace, is a diagonal matrix composed of eigenvalues of a corresponding noise subspace of the third covariance matrix C (h) in descending order.

[0207] Then, α (h) is determined according to a fifth eigenvalue and a sixth eigenvalue of the third covariance matrix. (h) For example, α (h) may be determined according to a difference, a ratio, etc. of the fifth eigenvalue and the sixth eigenvalue.

[0208] Optionally, the fifth eigenvalue is a largest eigenvalue of the third covariance matrix, and the sixth eigenvalue is a second largest eigenvalue of the third covariance matrix, but is not limited thereto, for example, the sixth eigenvalue can also be a third largest eigenvalue of the third covariance matrix.

[0209] Optionally, α (h) may be determined according to a ratio of the sixth eigenvalue to the fifth eigenvalue. (h) Optionally, the ratio of the sixth eigenvalue to the fifth eigenvalue can be taken as α (h) , or, on the basis of the ratio of the sixth eigenvalue to the fifth eigenvalue, a further operation (such as at least one of addition, subtraction, multiplication, division, power operation, logarithmic operation, etc.) can be performed, and a result after the operation is taken as α

[0210] Optionally, α (h) may be one of the following:

[0211] wherein, is the fifth eigenvalue of the third covariance matrix, is the sixth eigenvalue of the third covariance matrix, for example is a largest eigenvalue of the third covariance matrix, is a second largest eigenvalue of the third covariance matrix.

[0212] According to an optional implementation manner, α (h) may be a linear value or a dB value.

[0213] According to an optional implementation manner, α (v) may be defined as an absolute value of a ratio of a second largest eigenvalue to a largest eigenvalue of the third covariance matrix, and takes a positive real number greater than or equal to 0 and less than or equal to 1, facilitating quantification of feedback.

[0214] In some embodiments, the first information can be 1-bit indication information, and the terminal determines the above-mentioned parameters (an average of α (h) , α (h) , α (h) , α (v) and α (h)at least one of the maximum value in α (v) and the minimum value in α (h) and the first threshold value determines the first information. For example, if the maximum value in α (v) and α (h) is greater than the first threshold value, a bit "1" indicates that the terminal is in the near field, and if the maximum value in α (v) and α (h) is less than the first threshold value, a bit "0" indicates that the terminal is in the far field. For another example, if the average value of α (v) and α (h) is greater than the first threshold value, a bit "1" indicates that the terminal is in the near field, and if the average value of α (v) and α (h) is less than the first threshold value, a bit "0" indicates that the terminal is in the far field. Optionally, the first threshold value can be predefined by a protocol or configured by a network device, and the embodiments of the present disclosure do not limit the obtaining manner of the first threshold value.

[0215] In some embodiments, the first information can be indication information of multiple bits, and the terminal determines the first information according to at least one of the above-listed parameters and multiple threshold values, which can be predefined by a protocol or configured by a network device.

[0216] In the above embodiments, the terminal determines the first information according to the eigenvalues of the covariance matrix, and only needs to perform eigenvalue decomposition of the matrix once, so the calculation amount is small.

[0217] In step S2103, the terminal sends the first information to the network device.

[0218] In some embodiments, the first information can be included in the CSI. Optionally, the terminal sends the CSI to the network device, and the CSI includes the first information. Optionally, the first information can not be included in the CSI. Optionally, the first information is independent information.

[0219] In some embodiments, the terminal sends (reports) the first information to the network device through a physical uplink shared channel (PUSCH) and / or a physical uplink control channel (PUCCH).

[0220] In some embodiments, the sending (reporting) of the first information can be periodic, aperiodic, or semi-persistent.

[0221] In some embodiments, the terminal sends at least one first information to the network device, one first information corresponding to at least one CSI-RS resource or at least one CSI-RS port group. Optionally, for a two-dimensional array, the network device configures two CSI-RS resources or two CSI-RS port groups of the same CSI-RS resource, and the terminal calculates the vertical-dimension a (v) and / or the horizontal-dimension a (h) of the terminal according to the reference signals of the two CSI-RS resources or the two CSI-RS port groups, thereby obtaining one first information corresponding to the two CSI-RS resources or the two CSI-RS port groups.

[0222] In some embodiments, when reporting the first information to the network device, the terminal can also report the CSI-RS resource or the CSI-RS port group associated with the first information.

[0223] Step S2104, the network device determines third information according to the first information.

[0224] In some embodiments, the third information can include the wireless transmission parameters configured by the network device to the terminal.

[0225] In some embodiments, the third information (or the wireless transmission parameters) includes at least one of the following:

[0226] A codebook parameter, the codebook parameter being used to indicate the codebook used by the terminal;

[0227] A number of candidate beams.

[0228] In some embodiments, the first information can quantitatively or non-quantitatively indicate the strength of the near-field effect suffered by the terminal, and the network device can determine the strength of the near-field effect suffered by the terminal according to the first information, and configure the terminal accordingly according to the strength of the near-field effect suffered by the terminal.

[0229] Optionally, the first information quantitatively indicates the strength of the near-field effect suffered by the terminal, and if the value of the first information is greater than a first threshold, it indicates that the terminal suffers a stronger near-field effect, and it is determined that the terminal is in the near field. Optionally, the first threshold can be pre-defined by a protocol or configured by the network device, and the first threshold can be any positive real number, for example, 0.5. Accordingly, if the value of the first information is less than the first threshold, it indicates that the terminal suffers a weaker near-field effect, and it is determined that the terminal is in the far field. In particular, if the value of the first information is equal to the first threshold, it can be determined that the terminal is in the near field or the far field.

[0230] For example, for codebook configuration, if the value of the first information is greater than the first threshold or the first information indicates that the terminal is in a near field, the network device can select and configure a first codebook for the near field; or, if the value of the first information is less than the first threshold or the first information indicates that the terminal is in a far field, the network device can select and configure a second codebook for the far field.

[0231] For another example, for beam management, if the value of the first information is greater than the first threshold or the first information indicates that the terminal is in a near field, a greater number of candidate beams can be configured. Alternatively, the number of candidate beams can be determined based on the magnitude of the value of the first information (i.e., the strength of the near field effect on the terminal), for example, the greater the value of the first information (i.e., the stronger the near field effect on the terminal), the greater the number of candidate beams configured.

[0232] In some embodiments, step S2104 is an optional step. For example, the network device performs other configurations or management according to the first information.

[0233] With the above method, the network device can determine the strength of the near field effect on the terminal according to the first information, and perform corresponding configurations on the terminal according to the strength of the near field effect on the terminal, for example, selecting and configuring a suitable codebook, configuring a suitable number of candidate beams, and the like.

[0234] The method related to the embodiments of the present disclosure can include at least one of the above steps S2101-S2104. For example, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, steps S2102+S2103 can be implemented as an independent embodiment, steps S2101+S2102+S2103 can be implemented as an independent embodiment, steps S2103+S2104 can be implemented as an independent embodiment, steps S2102+S2103+S2104 can be implemented as an independent embodiment, steps S2101+S2103 can be implemented as an independent embodiment, steps S2101+S2103+S2104 can be implemented as an independent embodiment, but are not limited thereto.

[0235] In some embodiments, the above steps S2101-S2104 are optional steps, and one or more of the steps can be omitted or replaced in different embodiments.

[0236] In some embodiments, reference can be made to other optional implementations described before or after the description corresponding to FIG. 2A.

[0237] The first information is sent by using the method, and the first information is used to indicate the strength of the near-field effect on the terminal, the near-field effect being a near-field effect of the terminal relative to a transmitting antenna array of the network device. In this way, the strength of the near-field effect on the terminal can be determined by the first information, and the network device can configure the terminal accordingly.

[0238] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms of "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "code point", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0239] In some embodiments, the terms of "codebook", "codeword", and "precoding matrix" can be replaced with each other. For example, the codebook can be a collection of one or more codewords / precoding matrices.

[0240] In some embodiments, the terms of "uplink", "uplink", "physical uplink", and the like can be replaced with each other, and the terms of "downlink", "downlink", "physical downlink", and the like can be replaced with each other.

[0241] In some embodiments, the terms of "downlink control information (DCI)", "downlink (DL) assignment", "DL DCI", "uplink (UL) grant", "UL DCI", and the like can be replaced with each other.

[0242] In some embodiments, the terms of “Physical Downlink Shared Channel (PDSCH)”, “DL data”, “DL signal”, “DL packet”, “downlink data”, “downlink signal”, “downlink packet” and the like can be replaced with each other, and the terms of “Physical Uplink Shared Channel (PUSCH)”, “UL data”, “UL signal”, “UL packet”, “uplink data”, “uplink signal”, “uplink packet” and the like can be replaced with each other.

[0243] In some embodiments, the terms of “resource block (RB)”, “physical resource block (PRB)”, “sub-carrier group (SCG)”, “resource element group (REG)”, “PRB pair”, “RB pair”, “resource element (RE)”, “sub-carrier” and the like can be replaced with each other.

[0244] In some embodiments, the terms “precoding”, “precoder”, “weight”, “precoding weight”, “quasi-co-location (QCL)”, “transmission configuration indication (TCI) state”, “spatial relation”, “spatial domain filter”, “transmission power”, “phase rotation”, “antenna port”, “antenna port group”, “layer”, “the number of layers”, “rank”, “resource”, “resource set”, “resource group”, “beam”, “beam width”, “beam angular degree”, “antenna”, “antenna element”, “panel”, and the like can be replaced with each other.

[0245] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, “transmission time interval (TTI)”, and the like can be replaced with each other.

[0246] In some embodiments, the terms “acquire”, “obtain”, “get”, “receive”, “transmit”, “bidirectional transmission”, “transmit and / or receive”, and the like can be replaced with each other, which can be interpreted as receiving from other subjects, acquiring from protocols, acquiring from higher layers, obtaining by oneself, implementing autonomously, and the like.

[0247] In some embodiments, the terms “transmit”, “emit”, “report”, “issue”, “transmit”, “bidirectional transmission”, “transmit and / or receive”, and the like can be replaced with each other.

[0248] FIG. 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in FIG. 3A, the embodiment of the present disclosure relates to a communication method, which is performed by a terminal, and the method comprises the following steps.

[0249] In step S3101, the second information is acquired.

[0250] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0251] In some embodiments, the terminal receives the second information sent by the network device, but is not limited thereto, and can also receive the second information sent by other subjects.

[0252] In some embodiments, the terminal acquires the second information specified by the protocol.

[0253] In some embodiments, step S3101 is omitted, for example, the terminal autonomously implements the function indicated by the second information, or the above function is default.

[0254] In step S3102, the first information is determined according to the downlink channel matrix.

[0255] The first information is used to indicate the strength of the near-field effect suffered by the terminal.

[0256] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0257] In step S3103, the first information is sent.

[0258] The optional implementation of step S3103 can refer to the optional implementation of step S2103 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0259] FIG. 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in FIG. 3B, the embodiment of the present disclosure relates to a communication method, which is performed by a terminal, and the method comprises the following steps.

[0260] In step S3201, the first information is determined according to the downlink channel matrix.

[0261] The first information is used to indicate the strength of the near-field effect suffered by the terminal.

[0262] The optional implementation of step S3201 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0263] Step S3202, sending the first information.

[0264] The optional implementation of step S3202 can refer to the optional implementation of step S2103 in FIG. 2A, and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0265] FIG. 3C is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3C, the embodiment of the present disclosure relates to a communication method, which is performed by a terminal, and the above method comprises:

[0266] Step S3301, determining at least one covariance matrix of a downlink channel matrix.

[0267] The optional implementation of step S3301 can refer to the optional implementation of step S21 in FIG. 2B, and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0268] Step S3302, determining first information according to eigenvalues of the at least one covariance matrix.

[0269] The first information is used to indicate the strength of the near-field effect suffered by the terminal.

[0270] The optional implementation of step S3302 can refer to the optional implementation of step S22 in FIG. 2B, and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0271] Step S3303, sending the first information.

[0272] The optional implementation of step S3303 can refer to the optional implementation of step S2103 in FIG. 2A, and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0273] FIG. 4A is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 4A, the embodiment of the present disclosure relates to a communication method, which is performed by a network device, and the above method comprises:

[0274] Step S4101, sending second information.

[0275] In some embodiments, the second information is used to configure the terminal to send at least one first information, and one first information corresponds to at least one CSI-RS resource or at least one CSI-RS port group. The first information is used to indicate the strength of the near-field effect suffered by the terminal.

[0276] The optional implementation of step S4101 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which are not described here again in detail.

[0277] In some embodiments, step S4101 is omitted, for example, the terminal autonomously implements the function indicated by the second information, or the above function is default or default.

[0278] Step S4102, receiving the first information.

[0279] The optional implementation of step S4102 can refer to the optional implementation of step S2103 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which are not described here again in detail.

[0280] In some embodiments, the first information is determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

[0281] In some embodiments, the at least one covariance matrix includes a first covariance matrix, and the first information includes α, where α is determined according to a first eigenvalue and a second eigenvalue of the first covariance matrix.

[0282] In some embodiments, α is determined according to a ratio of the second eigenvalue to the first eigenvalue, the first eigenvalue being a largest eigenvalue of the first covariance matrix, and the second eigenvalue being a second largest eigenvalue of the first covariance matrix.

[0283] In some embodiments, the transmit antenna array of the network device is a two-dimensional array, the at least one covariance matrix includes a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponding to a first dimension, and the third covariance matrix corresponding to a second dimension, and the first information includes at least one of:

[0284] α (v) ;

[0285] α (h) ;

[0286] α (v) and a mean of α (h) ;

[0287] α (v) and a maximum of α (h) ;

[0288] α (v) and a minimum of α (h) ;

[0289] wherein α (v) is determined according to a third eigenvalue and a fourth eigenvalue of the second covariance matrix, and α (h)is determined according to a fifth eigenvalue and a sixth eigenvalue of the third covariance matrix.

[0290] In some embodiments, the alpha (v) is determined according to a ratio of the fourth eigenvalue to the third eigenvalue, the third eigenvalue being a largest eigenvalue of the second covariance matrix, and the fourth eigenvalue being a second largest eigenvalue of the second covariance matrix.

[0291] In some embodiments, the alpha (h) is determined according to a ratio of the sixth eigenvalue to the fifth eigenvalue, the fifth eigenvalue being a largest eigenvalue of the third covariance matrix, and the sixth eigenvalue being a second largest eigenvalue of the third covariance matrix.

[0292] In some embodiments, the first information is included in CSI. Alternatively, the network device receives the CSI, and the first information is included in the CSI.

[0293] Step S4103: determining the third information according to the first information.

[0294] The optional implementation of step S4103 can refer to the optional implementation of step S2104 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0295] In some embodiments, step S4103 is omitted.

[0296] FIG. 4B is a flow diagram of a communication method according to embodiments of the present disclosure. As shown in FIG. 4B, the embodiments of the present disclosure relate to a communication method, which is performed by a network device, and the above method includes the following steps:

[0297] Step S4201: receiving first information.

[0298] The optional implementation of step S4201 can refer to the optional implementation of step S2103 in FIG. 2A, the optional implementation of step S4102 in FIG. 4A, and other associated parts in the embodiments related to FIG. 2A, FIG. 2B and FIG. 4A, which will not be repeated here.

[0299] FIG. 5 is an interaction diagram of a communication method according to embodiments of the present disclosure. As shown in FIG. 5, the embodiments of the present disclosure relate to a communication method, and the above method includes the following steps:

[0300] Step S5101: determining, by a terminal, first information according to a downlink channel matrix.

[0301] The optional implementation of step S5101 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which will not be repeated here.

[0302] Step S5102. The terminal sends first information to the network device.

[0303] The optional implementation of step S5102 can refer to the optional implementation of step S2103 in FIG. 2A, and other associated parts in the embodiments related to FIG. 2A and FIG. 2B, which are not described herein again.

[0304] FIG. 6A is an interaction schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 6A, the embodiment of the present disclosure relates to a communication method, which is performed by a communication system including a UE and a base station (such as a gNB), and the above-mentioned method includes:

[0305] Step S6101. The UE calculates a covariance matrix of a downlink channel matrix according to a reference signal configured by the base station.

[0306] Optionally, the downlink channel matrix corresponds to a channel from the base station to the UE.

[0307] Optionally, the reference signal can be a CSI-RS.

[0308] Optionally, for a one-dimensional array of the base station transmitting antenna array, such as a single-polarized or dual-polarized uniform linear array (ULA), or for a two-dimensional array of the base station transmitting antenna array, such as a single-polarized or dual-polarized uniform planar array (UPA), the covariance matrix is denoted as Specifically,

[0309] is a channel in a p-th polarization direction of a k-th instance of the downlink channel (a channel from the base station to the UE), or is described as a sub-matrix from a p-th polarization direction of the base station transmitting antenna array to the UE receiving antenna in a k-th instance of the channel matrix.

[0310] N t is the number of antennas in one polarization direction. If the base station transmitting antenna array is a two-dimensional array, and are the number of antennas in the vertical and horizontal dimensions of the base station transmitting antenna array in one polarization direction, respectively.

[0311] N r is the number of antennas on the UE side.

[0312] The above-mentioned channel is obtained by the UE performing channel estimation according to the reference signal (such as a CSI-RS, etc.) transmitted by the base station.

[0313] The above example can be, but is not limited to, one OFDM subcarrier, one OFDM symbol, one resource element (RE), one CSI-RS resource, or one CSI-RS resource set.

[0314] Optionally, for the base station transmitting antenna array being a two-dimensional array, such as a single-polarized or dual-polarized uniform planar array (UPA), the covariance matrix includes a covariance matrix in the vertical dimension and a covariance matrix in the horizontal dimension, denoted as and Specifically,

[0315] is a submatrix corresponding to the kth instance of the channel matrix from the pth polarized direction of the cth column of antennas of the base station transmitting antenna array to the UE receiving antenna, or described as a submatrix from the pth polarized direction of the cth column of antennas of the base station transmitting antenna array to the UE receiving antenna in the kth instance of the channel matrix.

[0316] is a submatrix corresponding to the kth instance of the channel matrix from the pth polarized direction of the rth row of antennas of the base station transmitting antenna array to the UE receiving antenna, or described as a submatrix from the pth polarized direction of the rth row of antennas of the base station transmitting antenna array to the UE receiving antenna in the kth instance of the channel matrix.

[0317] In step S6102, the UE calculates a near field indicator (NFI) according to the covariance matrix.

[0318] Optionally, for the base station transmitting antenna array being a one-dimensional array or a two-dimensional array, the NFI can be wherein λ1 is the largest eigenvalue of the covariance matrix C, and λ2 is the second largest eigenvalue of the covariance matrix C.

[0319] Optionally, for the base station transmitting antenna array being a two-dimensional array, the NFI can be at least one of the following:

[0320] (1) and wherein, is the largest eigenvalue of the covariance matrix C (v) , is the second largest eigenvalue of the covariance matrix C (v) , is the largest eigenvalue of the covariance matrix C (h) , the second largest eigenvalue of the covariance matrix C (h) .

[0321] (2) the mean of the two: mean{a

[0322] (3) the maximum of the two: max{a (v) , a (h)}.

[0323] (4) the minimum of the two: min{a (v) , a (h)}.

[0324] By the above manner, the NFI can quantitatively indicate the strength of the near-field effect on the UE. It should be noted that in some embodiments, the NFI can non-quantitatively indicate the strength of the near-field effect on the UE, for example, the NFI can be 1-bit indication information obtained by comparing a with the first threshold, and for example, for a two-dimensional array, the NFI can be 1-bit indication information obtained by comparing at least one of the above parameters (1)-(4) with the first threshold.

[0325] Optionally, the base station can configure the UE to report at least one NFI, and each NFI corresponds to at least one CSI-RS resource or at least one CSI-RS port group.

[0326] Optionally, the NFI can be reported as part of the CSI.

[0327] Optionally, the NFI reporting can be periodic, or aperiodic, or semi-persistent.

[0328] Optionally, the NFI reporting can be through PUSCH and / or PUCCH.

[0329] In step S6103, the UE reports the NFI to the base station.

[0330] By using the above method, the near-field UE can be identified (determined) with low complexity. By reporting the NFI to the base station by the UE, on the one hand, the base station can quantitatively know the strength of the near-field effect suffered by the UE. For example, for a ULA array composed of 200 half-wavelength spacing monopole antennas, at a carrier frequency of 30 GHz, when the signal-to-noise ratio (SNR) is 10 dB, the distribution of NFI is as shown in FIG. 6B. The ULA array is arranged along the y-axis and the center of the array is located at the coordinate origin. The x-axis represents the normal direction of the ULA array, and the y-axis represents the direction parallel to the ULA array or deviating from the normal direction of the ULA array. Each point in the figure represents the NFI value (indicating the strength of the near-field effect suffered by the UE when the UE is located at the position point) when the UE is located at the position point. As can be seen from the figure, the closer the UE is to the ULA array, the larger the NFI value, and the stronger the near-field effect suffered by the UE.

[0331] On the other hand, the base station can correctly and accurately adapt the UE according to the strength of the near-field effect suffered by the UE, such as selecting and configuring a suitable codebook, configuring a proper number of candidate beams, and the like.

[0332] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or can be combined with optional implementation manners of other embodiments.

[0333] The embodiments of the present disclosure also propose an apparatus for implementing any of the above methods, for example, an apparatus including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another apparatus is proposed, including units or modules for implementing each step performed by the network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0334] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor, the processor is connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to realize any of the above methods or realize the functions of each unit or module of the above apparatus, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of logical relationship of elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be all implemented in the form of processor calling software, or all implemented in the form of hardware circuit, or part implemented in the form of processor calling software and the remaining part implemented in the form of hardware circuit.

[0335] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), or the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuits, and the logical relationship of the hardware circuits is fixed or can be reconfigured. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of part or all of the units or modules described above. In addition, the hardware circuit can also be designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), or the like.

[0336] FIG. 7A is a structural schematic diagram of a communication apparatus according to an embodiment of the present disclosure. As shown in FIG. 7A, the communication apparatus 7100 can include at least one of a transceiver module 7101, a processing module 7102, and the like. In some embodiments, the processing module 7102 is configured to determine at least one covariance matrix of a downlink channel matrix, and determine first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of a near-field effect suffered by a terminal. The transceiver module 7101 is configured to transmit the first information. Optionally, the transceiver module 7101 is configured to perform at least one of the communication steps (for example, step S2103, but not limited thereto) of the transmission and / or reception performed by the terminal in any of the methods described above, and details are not described herein again. Optionally, the processing module 7102 is configured to perform at least one of the other steps (for example, step S2102, but not limited thereto) performed by the terminal in any of the methods described above, and details are not described herein again.

[0337] FIG. 7B is a structural schematic diagram of a communication apparatus according to an embodiment of the present disclosure. As shown in FIG. 7B, the communication apparatus 7200 can include at least one of a transceiver module 7201, a processing module 7202, and the like. In some embodiments, the transceiver module 7201 described above is configured to receive first information, where the first information is used to indicate a strength of a near-field effect suffered by a terminal, and the first information is determined according to an eigenvalue of at least one covariance matrix of a downlink channel matrix. Optionally, the transceiver module 7201 described above is configured to perform at least one of the communication steps (for example, step S2101, but not limited thereto) of the transmitting and / or receiving performed by the network device in any of the methods described above, and details are not described herein again. Optionally, the processing module is configured to perform at least one of the other steps (for example, step S2104, but not limited thereto) of the network device in any of the methods described above, and details are not described herein again.

[0338] In some embodiments, the transceiver module can include a transmitting module and / or a receiving module, which can be separate or integrated together. Optionally, the transceiver module can be mutually replaced with a transceiver.

[0339] In some embodiments, the processing module can be one module, or can include multiple sub-modules. Optionally, the multiple sub-modules perform all or part of the steps required to be performed by the processing module. Optionally, the processing module can be mutually replaced with a processor.

[0340] FIG. 8A is a structural schematic diagram of a communication device 8100 according to an embodiment of the present disclosure. The communication device 8100 can be a network device (for example, an access network device, a core network device, and the like), a terminal (for example, a user equipment, and the like), a chip, a chip system, or a processor supporting the network device to implement any of the methods described above, or a chip, a chip system, or a processor supporting the terminal to implement any of the methods described above. The communication device 8100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0341] As shown in FIG. 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be configured to process a communication protocol and communication data, and the central processing unit can be configured to control a communication apparatus (for example, a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, and the like), execute a program, and process data of the program. The communication device 8100 is configured to execute any of the methods described above.

[0342] In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 can also be outside the communication device 8100.

[0343] In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs at least one of the communication steps (for example, step S2101, step S2103, but not limited to) in the above-described methods, and the processor 8101 performs at least one of the other steps (for example, step S2102, step S2104, but not limited to).

[0344] In some embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms transceiver, transceiving unit, transceiver, transceiving circuit, etc. can be replaced with each other, the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. can be replaced with each other.

[0345] In some embodiments, the communication device 8100 can include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected with the memory 8102, and the interface circuit 8104 can be used to receive signals from the memory 8102 or other devices, and can be used to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 can read the instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0346] The communication device 8100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 can not be limited by FIG. 8A. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: (1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, optionally, the set of ICs can also include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0347] FIG. 8B is a structural schematic diagram of the chip 8200 according to an embodiment of the present disclosure. For the case that the communication device 8100 can be a chip or a chip system, the structural schematic diagram of the chip 8200 shown in FIG. 8B can be referred to, but is not limited thereto.

[0348] The chip 8200 comprises one or more processors 8201, and the chip 8200 is configured to execute any of the above methods.

[0349] In some embodiments, the chip 8200 further comprises one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected with the memory 8203, and the interface circuit 8202 can be configured to receive signals from the memory 8203 or other devices, and the interface circuit 8202 can be configured to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

[0350] In some embodiments, the interface circuit 8202 performs at least one of the communication steps (for example, step S2101, step S2103, but not limited thereto) in the above methods, and the processor 8201 performs at least one of the other steps (for example, step S2102, step S2104, but not limited thereto).

[0351] In some embodiments, the terms of interface circuit, interface, transceiver pin, transceiver, etc. can be replaced with each other.

[0352] In some embodiments, the chip 8200 further comprises one or more memories 8203 for storing instructions. Optionally, all or part of the memory 8203 can be outside the chip 8200.

[0353] The present disclosure further proposes a storage medium, and instructions are stored on the storage medium. When the instructions are run on the communication device 8100, the communication device 8100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer readable storage medium, but is not limited thereto, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited thereto, and it can also be a transitory storage medium.

[0354] The present disclosure further proposes a program product, and the program product is executed by the communication device 8100, so that the communication device 8100 executes any of the above methods. Optionally, the program product is a computer program product.

[0355] The present disclosure further proposes a computer program, and when the computer program is run on a computer, the computer executes any of the above methods.

Claims

1. A communication method characterized by comprising: The method comprises: determining at least one covariance matrix of a downlink channel matrix; determining first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of a near-field effect suffered by a terminal; sending the first information.

2. The method of claim 1, wherein, The at least one covariance matrix comprises a first covariance matrix, and the first information comprises α, wherein the α is determined according to a first eigenvalue and a second eigenvalue of the first covariance matrix.

3. The method of claim 2, wherein, The α is determined according to a ratio of the second eigenvalue to the first eigenvalue, the first eigenvalue being a largest eigenvalue of the first covariance matrix, and the second eigenvalue being a second largest eigenvalue of the first covariance matrix.

4. The method of claim 1, wherein, The array of transmit antennas of the network device is a two-dimensional array, the at least one covariance matrix includes a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponds to a first dimension, the third covariance matrix corresponds to a second dimension, the first information includes at least one of: α (v) ; α (h) ; alpha (v) and the mean of alpha (h) ; alpha (v) and the maximum value in alpha (h) ; α (v) and the minimum value in α (h) ; wherein the a (v) is determined according to a third eigenvalue and a fourth eigenvalue of the second covariance matrix, the a (h) is determined according to a fifth eigenvalue and a sixth eigenvalue of the third covariance matrix.

5. The method of claim 4, wherein, The alpha (v) is determined according to a ratio of the fourth eigenvalue to the third eigenvalue, the third eigenvalue being a largest eigenvalue of the second covariance matrix, and the fourth eigenvalue being a second largest eigenvalue of the second covariance matrix.

6. The method according to claim 4 or 5, characterized in that, The α (h) is determined according to a ratio of the sixth eigenvalue to the fifth eigenvalue, the fifth eigenvalue being a largest eigenvalue of the third covariance matrix, and the sixth eigenvalue being a second largest eigenvalue of the third covariance matrix.

7. The method according to any one of claims 1 to 6, characterized in that, The first information is contained in channel state information (CSI).

8. The method according to any one of claims 1-7, characterized in that, The method further comprises: receiving second information, the second information being used to configure the terminal to send at least one of the first information, one of the first information corresponding to at least one channel state information reference signal (CSI-RS) resource or at least one CSI-RS port group.

9. A communication method characterized by comprising: The method comprises: receiving first information, the first information being used to indicate a strength of a near-field effect suffered by a terminal, the first information being determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

10. The method of claim 9, wherein, The at least one covariance matrix comprises a first covariance matrix, and the first information comprises α, wherein the α is determined according to a first eigenvalue and a second eigenvalue of the first covariance matrix.

11. The method of claim 10, wherein, The α is determined according to a ratio of the second eigenvalue to the first eigenvalue, the first eigenvalue being a largest eigenvalue of the first covariance matrix, and the second eigenvalue being a second largest eigenvalue of the first covariance matrix.

12. The method of claim 9, wherein, The transmit antenna array of the network device is a two-dimensional array, the at least one covariance matrix includes a second covariance matrix and / or a third covariance matrix, the second covariance matrix corresponds to a first dimension, the third covariance matrix corresponds to a second dimension, and the first information includes at least one of: α (v) ; α (h) ; a (v) and the mean of a (h) ; α (v) and the maximum value in α (h) ; α (v) and the minimum value in α (h) ; wherein the a (v) is determined according to a third eigenvalue and a fourth eigenvalue of the second covariance matrix, the a (h) is determined according to a fifth eigenvalue and a sixth eigenvalue of the third covariance matrix.

13. The method of claim 12, wherein, The alpha (v) is determined according to a ratio of the fourth eigenvalue to the third eigenvalue, the third eigenvalue being a largest eigenvalue of the second covariance matrix, and the fourth eigenvalue being a second largest eigenvalue of the second covariance matrix.

14. The method according to claim 12 or 13, characterized in that, The alpha (h) is determined according to a ratio of the sixth eigenvalue to the fifth eigenvalue, the fifth eigenvalue being a largest eigenvalue of the third covariance matrix, and the sixth eigenvalue being a second largest eigenvalue of the third covariance matrix.

15. The method according to any one of claims 9-14, characterized in that, The first information is contained in channel state information (CSI).

16. The method according to any one of claims 9-15, characterized in that, The method further comprises: sending second information, the second information being used to configure the terminal to send at least one of the first information, one of the first information corresponding to at least one channel state information reference signal (CSI-RS) resource or at least one CSI-RS port group.

17. A communications device, characterized by comprise: a processing module configured to determine at least one covariance matrix of a downlink channel matrix, and to determine first information according to eigenvalues of the at least one covariance matrix, the first information being used to indicate a strength of a near-field effect suffered by a terminal; a transceiver module configured to send the first information.

18. A communications device, characterized by comprise: a transceiver module configured to receive first information, the first information being used to indicate a strength of a near-field effect suffered by a terminal, the first information being determined according to eigenvalues of at least one covariance matrix of a downlink channel matrix.

19. A communications device, characterized by comprise: one or more processors; wherein the communication device is configured to perform the communication method of any one of claims 1-16.

20. A communication system, characterized by comprise a terminal and a network device, the terminal being configured to implement the communication method of any one of claims 1-8, and the network device being configured to implement the communication method of any one of claims 9-16.

21. A storage medium, the storage medium storing instructions, wherein, when the instructions are run on a communication device, cause the communication device to perform the communication method of any one of claims 1-16.

22. A computer program product comprising a computer program, characterized in that, The computer program, which the communication device executes, implements the communication method as claimed in any of claims 1-16.

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